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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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. The PhD will employ a combination of simulation and experimental validation. First, use and develop existing coronagraphic simulation tools in python to develop innovative algorithms, then conduct tests
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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, funded by the ANR P2S2 project. The position is available initially for a fixed-term duration of 2 years, with the possibility of extension for 1 further year. The P2S2 project aims at developing parton
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(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Academic staff The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria Gritsenko), invites applications for a
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independent research and develop novel algorithms. You have strong analytical and problem-solving skills. You have a research-oriented mindset and motivation to work at the intersection of AI and communication
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postdoctoral researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming
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methods that reduce compute, energy usage, memory and storage demands, and associated carbon emissions while aiming to maintain model quality. Your work will include developing new methodologies and
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, perform simulation studies, and apply developed methods to empirical datasets. The positions do not involve any lab work. The work includes mathematical modeling, algorithm development, statistical analysis
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• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some